Journal
PATTERN RECOGNITION LETTERS
Volume 22, Issue 1, Pages 55-61Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/S0167-8655(00)00099-4
Keywords
data mining; text mining; machine learning; boosting
Categories
Ask authors/readers for more resources
Expanding application demand for data mining of massive data warehouses has fueled advances in automated predictive methods. We examine a few successful application areas and their technical challenges. We review the key theoretical developments in PAC and statistical learning theory that have lead to the development of support vector machines and to the use of multiple models for increased predictive accuracy. (C) 2001 Elsevier Science B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available